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Bibliometric Study on ChatGPT

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Title: Bibliometric Study on ChatGPT
Language: English
Authors: Meria Ultra Gusteti (ORCID 0009-0009-7639-3430), Amran Md. Rasli (ORCID 0000-0002-4847-4614), Suci Wulandari (ORCID 0000-0002-7810-100X), Asrina Mulyati (ORCID 0009-0009-5743-7290), Rahmatul Hayati (ORCID 0000-0002-4940-5194), Khairul Azmi (ORCID 0009-0009-6304-5840), Serly Septia Elza (ORCID 0009-0002-9049-1810), Nurma Resi (ORCID 0009-0007-0326-9848)
Source: International Journal of Education in Mathematics, Science and Technology. 2024 12(6):1435-1450.
Availability: International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index
Peer Reviewed: Y
Page Count: 16
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Influence of Technology, Technology Uses in Education, Educational Technology, Medical Services
ISSN: 2147-611X
Abstract: Bibliometric studies are an important approach to understanding trends and dynamics in scientific literature. In the context of artificial intelligence (AI), ChatGPT has become an interesting research subject in recent years. This article presents a bibliometric analysis of ChatGPT from 2022 to April 2024, with a focus on publication trends, journals that published the most articles, number of citations, and keyword trends. Data were analyzed using bibliometric methods and information visualization. The main findings show fluctuations in the number of publications from year to year, with a significant increase in 2023 and 2024. Ten major journals publishing articles on ChatGPT were also identified, providing insight into the distribution of publications. Additionally, citation analysis highlights the most influential articles in the ChatGPT literature. The keyword network provides an understanding of the concepts most frequently associated with ChatGPT in the scientific literature. This research makes an important contribution to understanding developments and trends in ChatGPT research, while also identifying areas where further research can be expanded.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1465733
Database: ERIC
FullText Text:
  Availability: 0
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  Data: <searchLink fieldCode="AR" term="%22Meria+Ultra+Gusteti%22">Meria Ultra Gusteti</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-7639-3430">0009-0009-7639-3430</externalLink>)<br /><searchLink fieldCode="AR" term="%22Amran+Md%2E+Rasli%22">Amran Md. Rasli</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4847-4614">0000-0002-4847-4614</externalLink>)<br /><searchLink fieldCode="AR" term="%22Suci+Wulandari%22">Suci Wulandari</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7810-100X">0000-0002-7810-100X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Asrina+Mulyati%22">Asrina Mulyati</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-5743-7290">0009-0009-5743-7290</externalLink>)<br /><searchLink fieldCode="AR" term="%22Rahmatul+Hayati%22">Rahmatul Hayati</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4940-5194">0000-0002-4940-5194</externalLink>)<br /><searchLink fieldCode="AR" term="%22Khairul+Azmi%22">Khairul Azmi</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-6304-5840">0009-0009-6304-5840</externalLink>)<br /><searchLink fieldCode="AR" term="%22Serly+Septia+Elza%22">Serly Septia Elza</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-9049-1810">0009-0002-9049-1810</externalLink>)<br /><searchLink fieldCode="AR" term="%22Nurma+Resi%22">Nurma Resi</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-0326-9848">0009-0007-0326-9848</externalLink>)
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  Data: International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index
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  Data: 16
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronous+Communication%22">Synchronous Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+Services%22">Medical Services</searchLink>
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  Data: Bibliometric studies are an important approach to understanding trends and dynamics in scientific literature. In the context of artificial intelligence (AI), ChatGPT has become an interesting research subject in recent years. This article presents a bibliometric analysis of ChatGPT from 2022 to April 2024, with a focus on publication trends, journals that published the most articles, number of citations, and keyword trends. Data were analyzed using bibliometric methods and information visualization. The main findings show fluctuations in the number of publications from year to year, with a significant increase in 2023 and 2024. Ten major journals publishing articles on ChatGPT were also identified, providing insight into the distribution of publications. Additionally, citation analysis highlights the most influential articles in the ChatGPT literature. The keyword network provides an understanding of the concepts most frequently associated with ChatGPT in the scientific literature. This research makes an important contribution to understanding developments and trends in ChatGPT research, while also identifying areas where further research can be expanded.
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  Data: 2025
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      – Text: English
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      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Software
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      – SubjectFull: Synchronous Communication
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